Articles producció científica> Enginyeria Informàtica i Matemàtiques

A model to identify urban traffic congestion hotspots in complex networks

  • Identification data

    Identifier: PC:1930
    Authors:
    Albert Solé-RibaltaSergio GómezAlex Arenas
    Abstract:
    The rapid growth of population in urban areas is jeopardizing the mobility and air quality worldwide. One of the most notable problems arising is that of traffic congestion. With the advent of technologies able to sense real-time data about cities, and its public distribution for analysis, we are in place to forecast scenarios valuable for improvement and control. Here, we propose an idealized model, based on the critical phenomena arising in complex networks, that allows to analytically predict congestion hotspots in urban environments. Results on real cities¿ road networks, considering, in some experiments, real traffic data, show that the proposed model is capable of identifying susceptible junctions that might become hotspots if mobility demand increases.
  • Others:

    Author, as appears in the article.: Albert Solé-Ribalta; Sergio Gómez; Alex Arenas
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: SOLÉ RIBALTA, ALBERT; GÓMEZ JIMÉNEZ, SERGIO; ARENAS MORENO, ALEJANDRO
    Keywords: Phase transitions physics Congestion model Complex networks
    Abstract: The rapid growth of population in urban areas is jeopardizing the mobility and air quality worldwide. One of the most notable problems arising is that of traffic congestion. With the advent of technologies able to sense real-time data about cities, and its public distribution for analysis, we are in place to forecast scenarios valuable for improvement and control. Here, we propose an idealized model, based on the critical phenomena arising in complex networks, that allows to analytically predict congestion hotspots in urban environments. Results on real cities¿ road networks, considering, in some experiments, real traffic data, show that the proposed model is capable of identifying susceptible junctions that might become hotspots if mobility demand increases.
    Research group: Algorithms embedded in Physical Systems
    Thematic Areas: Computer engineering Ingeniería informática Enginyeria informàtica
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 2054-5703
    Author identifier: 0000-0003-3474-7594; 0000-0003-1820-0062; 0000-0003-0937-0334
    Record's date: 2016-11-02
    Journal volume: 3
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: http://rsos.royalsocietypublishing.org/content/3/10/160098
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1098/rsos.160098
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2016
    First page: Art.num. 160098
    Publication Type: Article Artículo Article
  • Keywords:

    Circulació urbana
    Xarxes complexes
    Transformacions de fase (Física estadística)
    Phase transitions physics
    Congestion model
    Complex networks
    Computer engineering
    Ingeniería informática
    Enginyeria informàtica
    2054-5703
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